Plugins

Official-style model + reasoning-effort control for the composer. Reuses the official picker and always offers Off/Low/High/Max — exactly like the official DeepSeek control — even when a gateway model declares no reasoning effort, with a small hint at the panel bottom when upstream does not natively support it.

A cosmic reasoning-effort slider for the DeepSeek Harness composer. Off, Low, High, and Max each have their own starfield and aurora, with smooth cross-fades and real per-session model selection.

Reasoning-effort slider for the DeepSeek Harness composer: drag through the thinking levels the current model declares and release to write the chosen level into the session. An auto band escalates one level after a tool error and another after two or more, and optional model routing picks a provider/model per task type.

Adds a draggable off / low / high / max reasoning-effort slider to the composer model row and applies the selected level to the current DSH session. The slider only appears for models that offer all four effort levels.

Volcengine Ark Coding Plan provider route for DeepSeek Harness with all 15 Coding Plan models and per-model reasoning-effort control, generated from a single source and drift-checked weekly.

Adds per-member model and reasoning-effort routing to DeepSeek Desktop Agent Teams, plus leader-initiated release of a teammate subagent run instance.

Replaces the composer model picker with a compact panel for provider-to-model navigation and an adaptive reasoning-effort slider, with a Default stop and no slider for models without adjustable efforts.

Adds a session-scoped context window selector next to the reasoning-effort row in the DeepSeek Harness model popup: a pill showing the effective window opens a dropdown of presets below the model default, the choice applies to the next request of that session only, and a new session falls back to the profile default. It writes no config file and appends nothing to the session log.

Codex-style reasoning-effort card for the composer: takes over the model selector and shows the current level, the model row and a segmented slider over the model's own adapter-provided levels, with a model list, a reset, and a purple aurora with twinkling particles at the maximum level.

Unofficial Claude UI-inspired model and reasoning-effort selector using the current model's available levels, with animated purple pixel effects.

Model quick picker for DeepSeek Harness: a button left of the model dropdown opens a full model-selection dialog with provider grouping, live search, provider filter, capability tags read from the user's own input config, reasoning badges, recent-model shortcuts and a reasoning-effort picker; the choice writes back to the native dropdown immediately.

Gives pi-ai routed models a reasoning-effort ladder without manual settings: falls back declared to models.dev to a 7-tier default, and replaces the composer model chip with a Codex-style vertical picker.

Adds a Keyboard Shortcuts page to the DSH Settings panel with six rebindable commands — permission-mode cycling, reasoning-effort stepping, a status-page and a task-list shortcut — plus PgUp/PgDn input navigation and an optional composer Enter remap.

Turns the composer's reasoning-effort menu into a draggable slider and takes over the stock model-and-reasoning-level chip. Dragging follows the pointer continuously; releasing snaps to the nearest level and submits one session update per drag. The track draws its own fill, tick marks and white knob, only the highest levels (xhigh, max, ultra) get a flowing brand-colour gradient, and both ends carry the lowest and highest level names. The same card expands into the official model list. Arrow keys step one level, PageUp and PageDown two, Home and End jump to the ends, and each move submits. A generation counter on the directory object discards late responses, and reduced-motion turns the animations off. All data comes from the stock modelDirectories directory; no new capabilities are added.

Fork of amlyczz/dsh-lark-link (MIT), maintained by Very12345. Per-conversation reasoning-effort controls, multi-app isolation, and streamed task-status cards.

Adds a thinking-depth slider mapped to declared model levels, configuration guidance, and optional inline model settings.

Swaps the composer's model control for a PI-Desktop style picker: a two-pane menu with search and provider grouping, a reasoning-effort slider, ArrowUp/ArrowDown prompt-history recall, and a prompt-rewrite button with undo.

A T3 Code-style New Session screen for the composer: a "What should we build in <project>?" headline whose project name opens a workspace menu, a reasoning-effort picker in the composer tool row, and a git branch strip under the card that searches local and remote refs and switches with git checkout.

第三方模型的思考强度与输入模态设置（DeepSeek Harness 插件，Fish 补充版）：每模型声明思考档位与图片输入，由内置模型知识库 + 线协议推断自动适配，直接在官方「模型」页卡片内编辑。基于上游 dsh-better-reasoning-effort 0.5.2，修复了与 dsh-web 模型能力插件的席位冲突。

Replaces the chat input model picker with a provider-grouped, collapsible list: groups models by provider, folds vision-bridge mirror providers back into their upstream, and carries the reasoning-effort options each model declares in settings. Tested on DSH Desktop only; the DSH web build is untested.

Requires DSH >= 0.2.0-rc.2 < 0.3.0. Declare any number of LLM providers, each with its own endpoint, credential and per-model parameters (reasoning-effort vocabulary, image input, retry policy), across the OpenAI Chat, OpenAI Responses, Anthropic Messages and Google Gemini wire formats, configured from a settings page.

Codex-style DeepSeek Harness model and reasoning selector with model-advertised effort levels, DSH-native themes, left-clipped radiation effects, and copy-ready reasoning-effort declaration guidance for custom-provider models.

A minimal reasoning-effort ruler for the DSH composer: one hairline, a sliding marker, per-model memory, optimistic switching — and a streamlined model picker.

Declares per-model reasoning-effort ladders for third-party providers in the llm-pi-ai settings section, so DSH's stock thinking-intensity selector works on models the pi-ai catalog does not describe.